Full Stack Infrastructure Developer, System Science, IHPC

3 weeks ago

Singapore Agency for Science, Technology and Research (A*STAR) Full time
Full Stack Infrastructure Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on integrating modelling and simulation tools with a distributed computational backend to serve the diverse needs of the multi-disciplinary research team and the project stakeholders, including scientific experimentation, modelling and simulation, and the federation of a system-of-systems to address complex policy issues for governmental agencies and affiliated organisations.

The responsibilities include but are not limited to:

  • Design a system architecture for the infrastructure.
  • Strategise and execute a phased deployment plan for the infrastructure.
  • Develop integration capabilities (e.g., APIs, microservices) to connect system components.
  • Set up and optimise database and storage systems to support compute-heavy workloads.
  • Set up a workflow management system to submit jobs onto a distributed computing cluster.
  • Adapt simulation models and AI/ML flows into reusable workflow tasks.
  • Package models and pipelines into exportable workflows (e.g., Argo flow, Airflow).
  • Deploy full-stack solutions onto on-premises, cloud, or hybrid deployments.
  • Automate infrastructure and code management with CI/CD (e.g., Jenkins).
  • Implement information security schemes to control and monitor access.
  • Construct test cases to ensure correctness, robustness, scalability, and security of the platform.
  • Contribute to open-source development for selected system components.
  • Support other development activities (e.g., simulation integration, machine learning, frontend).

Education and experience requirements:

  • Bachelor's or Master's degree in computer science, software engineering, or related fields.
  • Minimum of two years of experience in full stack development, data science, or systems engineering.


Technical skills:

  • Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
  • Strong experience with containerization and orchestration technologies, such as Docker and Kubernetes.
  • Strong proficiency with continuous integration and continuous deployment (CI/CD) pipelines.
  • Experience with infrastructure as code (IAC) tools (e.g., Ansible, Terraform).
  • Experience with database management systems, such as SQL and NoSQL databases.
  • Experience in system administration, including Linux server management.
  • Experience with version control systems (e.g., Git).
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud).
  • Understanding of networking and security best practices.

Soft skills:

  • Excellent communication skills to collaborate with interdisciplinary teams.
  • Strong problem-solving and critical thinking abilities.
  • Strong project management and time management skills.
  • Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
  • Adaptability to work in a fast-paced, dynamic research environment.

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